Experiments
Searchable full-text extractions: founding hypothesis, core claims, experimental setups, key results and statistics — pulled out of each paper as structure. Search a cell line, an assay or an entity (e.g. HUH7) and find every paper that worked with it. This corpus stands on its own: most entries carry no reproduction assessment (yet).
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Has reproduction · 96
Scalable Prediction of Acute Myeloid Leukemia Using High-Dimensional Machine Learning and Blood Transcriptomics.
PMID 31918046 · PMC6992905 · iScience · 2020 · 8 claims · 8 setups
Assembled the largest reference blood gene expression profiling (GEP) dataset for AML to date: 12,029 samples from 105 studies across three platforms.
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Leveraging the germ layer development patterns to predict prognosis and identify MEST as a novel therapeutic target in glioma.
PMID 41501725 · PMC12870398 · Cancer cell international · 2026 · 7 claims · 8 setups
MEST is a key oncogenic GLD-related gene and a novel therapeutic target in glioma, identified via a machine learning feature selection framework
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Has reproduction · 100
Prediction of Antimicrobial Resistance in Gram-Negative Bacteria From Whole-Genome Sequencing Data.
PMID 32528441 · PMC7262952 · Frontiers in microbiology · 2020 · 8 claims · 5 setups
WGS-derived antibiotic resistance gene (ARG) coverage can be used to predict antimicrobial resistance in Gram-negative bacteria via machine learning
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Has reproduction · 55
Natural clines and human management impact the genetic structure of Algerian honey bee populations.
PMID 38114899 · PMC10729559 · Genetics, selection, evolution : GSE · 2023 · 7 claims · 8 setups
Algerian honey bees show no significant admixture from European reference honey bee populations
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BaGPipe: an automated, reproducible, and flexible pipeline for bacterial genome-wide association studies.
PMID 41896736 · PMC13147680 · BMC microbiology · 2026 · 7 claims · 8 setups
BaGPipe is an automated, reproducible Nextflow pipeline that integrates pre-processing, Pyseer-based association analysis, and downstream visualisation into a unified bacterial GWAS workflow